Python GUI Programming – A Complete Reference Guide: Develop responsive and powerful GUI applications with PyQt and Tkinter [NulledPremium]

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[NulledPremium.com] Python GUI Programming
  • 9781838988470-PYTHON_GUI_PROGRAMMING_A_COMPLETE_REFERENCE_GUIDE.pdf (5.6 MB)
  • 9781838988470.epub (4.1 MB)
  • 9781838988470.mobi (11.2 MB)
  • Code Chapter01
    • better_hello_tkinter.py (1.7 KB)
    • hello_tkinter.py (0.2 KB)
    Chapter02
    • abq_data_entry_spec.rst (4.6 KB)
    Chapter03
    • abq_data_entry_spec.rst (4.6 KB)
    • boilerplate.py (0.2 KB)
    • button_example.py (0.3 KB)
    • checkbutton_example.py (0.3 KB)
    • combobox_example.py (0.3 KB)
    • data_entry_app.py (9.5 KB)
    • discrete_label_input_example.py (0.2 KB)
    • entry_example.py (0.2 KB)
    • spinbox_example.py (0.3 KB)
    • text_widget_example.py (0.5 KB)
    Chapter04
    • DateEntry.py (1.7 KB)
    • FiveCharEntry.py (0.3 KB)
    • FiveCharEntry2.py (0.7 KB)
    • MixinExample.py (0.6 KB)
    • ValidatedMixin.py (3.5 KB)
    • ValidatedSpinboxNoDynamic.py (1.8 KB)
    • abq_data_entry_spec.rst (4.8 KB)
    • data_entry_app.py (20.1 KB)
    Chapter05 ABQ_Data_Entry
    • .gitignore (0.0 KB)
    • README.rst (0.9 KB)
    • abq_data_entry.py (0.1 KB)
    • abq_data_entry
      • __init__.py (0.0 KB)
      • application.py (1.8 KB)
      • constants.py (0.1 KB)
      • models.py (2.2 KB)
      • views.py (6.6 KB)
      • widgets.py (11.6 KB)
      docs
      • Application_layout.png (8.9 KB)
      • abq_data_entry_spec.rst (4.8 KB)
      • lab-tech-paper-form.png (21.5 KB)
      ABQ_Data_Entry_skeleton abq_data_entry
      • __init__.py (0.0 KB)
      • application.py (0.0 KB)
      • models.py (0.0 KB)
      • views.py (0.0 KB)
      • widgets.py (0.0 KB)
      • my_module.py (0.0 KB)
      • my_module
        • __init__.py (0.0 KB)
        • submodule_1.py (0.0 KB)
        • submodule_2
          • __init__.py (0.0 KB)
          • submodule_a.py (0.0 KB)
        • rst_example.rst (1.7 KB)
        • Chapter06 ABQ_Data_Entry
          • .gitignore (0.0 KB)
          • README.rst (0.9 KB)
          • abq_data_entry.py (0.1 KB)
          • abq_data_entry
            • __init__.py (0.0 KB)
            • application.py (3.7 KB)
            • constants.py (0.1 KB)
            • models.py (3.8 KB)
            • views.py (8.5 KB)
            • widgets.py (11.6 KB)
            docs
            • Application_layout.png (8.9 KB)
            • abq_data_entry_spec.rst (4.8 KB)
            • lab-tech-paper-form.png (21.5 KB)
            • filedialog_demo.py (0.4 KB)
            • menu_demo.py (1.4 KB)
            • messagebox_demo.py (0.3 KB)
            • messagebox_demo_short.py (0.2 KB)
            • Chapter07 ABQ_Data_Entry
              • .gitignore (0.0 KB)
              • README.rst (0.9 KB)
              • abq_data_entry.py (0.1 KB)
              • abq_data_entry
                • __init__.py (0.0 KB)
                • application.py (5.8 KB)
                • constants.py (0.1 KB)
                • models.py (5.4 KB)
                • views.py (12.6 KB)
                • widgets.py (11.6 KB)
                docs
                • Application_layout.png (8.9 KB)
                • abq_data_entry_spec.rst (4.8 KB)
                • lab-tech-paper-form.png (21.5 KB)
                • treeview_demo.py (1.1 KB)
                • Chapter08 ABQ_Data_Entry
                  • .gitignore (0.0 KB)
                  • README.rst (0.9 KB)
                  • abq_data_entry.py (0.1 KB)
                  • abq_data_entry
                    • __init__.py (0.0 KB)
                    • application.py (7.3 KB)
                    • constants.py (0.1 KB)
                    • images
                      • __init__.py (0.3 KB)
                      • abq_logo-16x10.png (1.3 KB)
                      • abq_logo-32x20.png (2.6 KB)
                      • abq_logo-64x40.png (5.3 KB)
                    • models.py (5.5 KB)
                    • views.py (16.0 KB)
                    • widgets.py (12.0 KB)
                    • docs
                      • Application_layout.png (8.9 KB)
                      • abq_data_entry_spec.rst (4.8 KB)
                      • lab-tech-paper-form.png (21.5 KB)
                      • font_demo.py (0.9 KB)
                      • font_lister.py (0.3 KB)
                      • image_scope_demo.py (0.4 KB)
                      • image_viewer_demo.py (0.9 KB)
                      • smile.gif (0.2 KB)
                      • tags_demo.py (0.6 KB)
                      • tk_default_font_example.py (0.3 KB)
                      • tkinter_color_demo.py (0.2 KB)
                      • ttk_combobox_info.py (1.3 KB)
                      • Chapter09 ABQ_Data_Entry
                        • .gitignore (0.0 KB)
                        • README.rst (0.9 KB)
                        • abq_data_entry.py (0.1 KB)
                        • abq_data_entry
                          • __init__.py (0.0 KB)
                          • application.py (7.8 KB)
                          • constants.py (0.1 KB)
                          • images
                            • __init__.py (0.3 KB)
                            • Description


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                              June 24, 2019 | ISBN: 978-1838988470 | English | 748 pages | True (PDF, MOBI) + Code | 21 MB

                              Explore Python’s GUI frameworks and create visually stunning and feature-rich applications

                              Key Features

                              Integrate stunning data visualizations using Tkinter Canvas and Matplotlib
                              Understand the basics of 2D and 3D animation in GUI applications
                              Explore PyQt’s powerful features to easily design and customize your GUI applications

                              Book Description

                              A responsive graphical user interface (GUI) helps you interact with your application, improves user experience, and enhances the efficiency of your applications. With Python, you’ll have access to elaborate GUI frameworks that you can use to build interactive GUIs that stand apart from the rest.

                              This Learning Path begins by introducing you to Tkinter and PyQt, before guiding you through the application development process. As you expand your GUI by adding more widgets, you’ll work with networks, databases, and graphical libraries that enhance its functionality. You’ll also learn how to connect to external databases and network resources, test your code, and maximize performance using asynchronous programming. In later chapters, you’ll understand how to use the cross-platform features of Tkinter and Qt5 to maintain compatibility across platforms. You’ll be able to mimic the platform-native look and feel, and build executables for deployment across popular computing platforms.

                              By the end of this Learning Path, you’ll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems.

                              This Learning Path includes content from the following Packt products:

                              Python GUI Programming with Tkinter by Alan D. Moore
                              Qt5 Python GUI Programming Cookbook by B. M. Harwani

                              What you will learn

                              Visualize graphs in real time with Tkinter’s animation capabilities
                              Use PostgreSQL authentication to ensure data security for your application
                              Write unit tests to avoid regression when updating code
                              Handle different signals generated on mouse clicks using QSpinBox and sliders
                              Employ network concepts, internet browsing, and Google Maps in UI
                              Use graphics rendering to implement animations in your GUI

                              Who this book is for

                              If you’re an intermediate Python programmer looking to enhance your coding skills by writing powerful GUIs in Python using PyQT and Tkinter, this is an ideal Learning Path for you. A strong understanding of the Python language is a must to grasp the concepts explained in this book.



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Python GUI Programming – A Complete Reference Guide: Develop responsive and powerful GUI applications with PyQt and Tkinter [NulledPremium]


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